Senior GCP Emulator Engineer — Remote

LocalStack; Greater London; Remote; GBP 36,000 - 67,000; Full time

Benefits offered by this job

Fully remote

Annual company retreat

2 extra company-wide holidays

Friendly and inclusive workplace

Job summary

LocalStack is a fast-growing startup offering a local cloud development platform. We scale the MVP GCP emulator to GA, owning its roadmap and production line, while driving adoption with users and aligning with GTM for a broader product suite.

We seek a highly experienced engineer with deep GCP knowledge, strong system design thinking, and proficiency in Python/Go/Rust, plus Docker/Kubernetes expertise and tooling familiarity. This role is fully remote and globally distributed.

Qualifications

• 7+ years professional software engineering or solutions engineering in GCP context.
• Deep knowledge of GCP and how it is used.
• Strong system design thinking for cloud emulation.
• Proficiency in Python, Go, or Rust.
• Experience with Claude/Gemini/Codex tooling.
• Deep knowledge of Docker and Kubernetes; distribution mechanics and licensing.

Responsibilities

• Scale MVP of the GCP emulator into a GA product with a full roadmap.
• Operate the agentic production line for the GCP product.
• Instrument, measure and iterate on adoption with user feedback.
• Collaborate with GTM to integrate GCP emulator into a wider product suite (AWS/Snowflake, Azure).

Skills

GCP expertise

System design thinking

Python/Go/Rust

Docker/Kubernetes

VC-backed product mindset

Claude/Gemini/Codex tooling

Tools

Claude/Gemini/Codex tooling

Job description

LocalStack is a fast-growing startup offering a local cloud development platform. We scale the MVP GCP emulator to GA, owning its roadmap and production line, while driving adoption with users and aligning with GTM for a broader product suite.

We seek a highly experienced engineer with deep GCP knowledge, strong system design thinking, and proficiency in Python/Go/Rust, plus Docker/Kubernetes expertise and tooling familiarity. This role is fully remote and globally distributed.